A passenger movement forecast and optimisation system for airport terminals

Stefan Richter, Stefan Voss and Julian Wulf

International Journal of Aviation Management, 2011, vol. 1, issue 1/2, 58-69

Abstract: This paper describes a system to forecast and optimise movements of the passengers inside airport terminal buildings. Three key technologies and their interactions are considered: firstly, the classification of passengers into different groups is described; secondly, the actual path-finding based on graph-theoretical methods is explained; thirdly, methods are introduced to reflect the spatial utilisation of the terminal floor space in the model. Each methodology is specifically selected to solve the designated problem in the best possible way. The main finding of this paper is the illustration of the interaction of these three different methodologies and how it can assist in passenger-handling processes on ground.

Keywords: air travel; data mining; graph theory; people movement; forecasting; optimisation; passenger movement; airport terminals; aviation management; spatial utilisation; terminal floor space; path finding; passenger handling; airline passengers. (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=38293 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijavim:v:1:y:2011:i:1/2:p:58-69

Access Statistics for this article

More articles in International Journal of Aviation Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().